Dr Liam Turner

2024

• Gul, A., Turner, L. and Fuentes, C. 2024. An exploratory analysis of trust in socially assistive robot interactions with unpaid carers of older adults. Presented at: IEEE RO-MAN 2024, Pasadena, CA, USA, 26-30 August 20242024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). IEEE pp. 1630-1637., (10.1109/RO-MAN60168.2024.10731201)
• Ironside-Smith, R., Turner, L., Noe, B., Costello, S. and Allen, S. 2024. Motif discovery in hospital ward vital signs observation networks. Network Modeling Analysis in Health Informatics and Bioinformatics 13, article number: 55. (10.1007/s13721-024-00490-1)
• Gul, A., Turner, L. and Fuentes Toro, C. 2024. Perspectives from unpaid carers on socially assistive robot interactions in older adult care. Presented at: 16th International Conference on Social Robotics +AI, Odense, Denmark, 23-26 October 2024.
• Greatrix, T., Whitaker, R., Turner, L. and Colombo, W. 2024. Can large language models create new knowledge for spatial reasoning tasks?. [Online]. arXiv: Cornell University. Available at: https://arxiv.org/abs/2405.14379
• Darwish, R., Abdelmoty, A. and Turner, L. 2024. Investigating social network structures and interests on X audio spaces. Presented at: 13th International Conference on Complex Networks and their Applications, Istanbul, Turkey, 10-12 Dec 2024Complex Networks & Their Applications XIII. Studies in Computational Intelligence Springer-Verlag
• Siddique, Z., Turner, L. and Espinosa-Anke, L. 2024. Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models. Presented at: The 2024 Conference on Empirical Methods in Natural Language Processing, Miami, FL, USA, 12-16 November 2024Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics pp. 18601-18619., (10.18653/v1/2024.emnlp-main.1035)

2022

• Friedrichs, B., Turner, L. D. and Allen, S. M. 2022. Utilising the co-occurrence of user interface interactions as a risk indicator for smartphone addiction. Pervasive and Mobile Computing 86, article number: 101677. (10.1016/j.pmcj.2022.101677)
• Noe, B., Bullock, A., Frankish, J. and Turner, L. 2022. Temporal patterns in vital sign recording within and across general hospital wards. Resuscitation Plus 10, article number: 100247. (10.1016/j.resplu.2022.100247)
• Whitaker, R. M., Colombo, G. B., Turner, L., Dunham, Y., Doyle, D. K., Roy, E. M. and Giammanco, C. A. 2022. The coevolution of social networks and cognitive dissonance. IEEE Transactions on Computational Social Systems 9(2), pp. 376-393. (10.1109/TCSS.2021.3090833)
• Ashford, J., Turner, L., Whitaker, R., Preece, A. and Felmlee, D. 2022. Understanding the characteristics of COVID-19 misinformation communities through graphlet analysis. Online Social Networks and Media 27, article number: 100178. (10.1016/j.osnem.2021.100178)

2021

• Davies, C. et al. 2021. Multi-scale user migration on Reddit. Presented at: Workshop on Cyber Social Threats at the 15th International AAAI Conference on Web and Social Media (ICWSM 2021), Virtual, 07 June 2021. AAAI, (10.36190/2021.13)
• Friedrichs, B., Turner, L. and Allen, S. 2021. Discovering types of smartphone usage sessions from user-app interactions. Presented at: 5th International Workshop on Annotation of useR Data for UbiquitOUs Systems (ARDUOUS 2021), Kassel, Germany, 22-26 March 20212021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE pp. 459-464., (10.1109/PERCOMWORKSHOPS51409.2021.9431034)
• Turalska, M., Lickorish, R., De Mel, G., Turner, L. and Whitaker, R. 2021. Optimizing the efficiency of collective decision making in groups. Presented at: SPIE Defense + Commercial Sensing, Virtual (FL, United States), 12-14 April 2021Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III, Vol. 11746. International Society for Optics and Photonics, (10.1117/12.2587886)
• Hudson, L., Whitaker, R., Allen, S., Turner, L. and Felmlee, D. 2021. The centrality of edges based on their role in induced triads. Presented at: 2021 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 08 - 11 November 2021.

2020

• Morris, R. L., Turner, L. D., Whitaker, R. M. and Giammanco, C. 2020. Breadth verses depth: the impact of tree structure on cultural influence. Presented at: 2020 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Washington DC, USA, 19-21 October 2020Social, Cultural, and Behavioral Modeling: 13th International Conference, SBP-BRiMS 2020, Washington, DC, USA, October 18–21, 2020, Proceedings. Lecture Notes in Computer Science/Information Systems and Applications, incl. Internet/Web, and HCI Vol. 12268. Springer Verlag, (10.1007/978-3-030-61255-9_9)
• Tu, K., Li, J., Towsley, D., Braines, D. and Turner, L. 2020. gl2vec: Learning feature representation using graphlets for directed networks. Presented at: 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, BC, Canada, 27-30 August 2019Proceedings of ASONAM 19. New York: Association for Computing Machinery pp. 216-221., (10.1145/3341161.3342908)
• Ashford, J., Turner, L., Whitaker, R., Preece, A. and Felmlee, D. 2020. Assessing temporal and spatial features in detecting disruptive users on Reddit. Presented at: 10th Workshop on Social Network Analysis in Applications (SNAA 2020), The Hague, Netherlands, 3 August 2020.

2019

• Turner, L., Allen, S. and Whitaker, R. 2019. The influence of concurrent mobile notifications on individual responses. International Journal of Human-Computer Studies 132, pp. 70-80. (10.1016/j.ijhcs.2019.07.011)
• Noe, B., Turner, L. D., Linden, D. E. J., Allen, S. M., Winkens, B. and Whitaker, R. M. 2019. Identifying indicators of smartphone addiction through user-app interaction. Computers in Human Behavior 99, pp. 56-65. (10.1016/j.chb.2019.04.023)
• Loizides, F., Jones, K., Girvan, C., De Ribaupierre, H., Turner, L., Bailey, C. and Lloyd, A. 2019. Crowdsourcing real world feedback for human computer interaction education. In: Khan, V. J. et al. eds. Macrotask Crowdsourcing: Engaging the Crowds to Address Complex Problems. Human–Computer Interaction Series Springer, pp. 233-252., (10.1007/978-3-030-12334-5_9)
• Noe, B., Turner, L. and Whitaker, R. 2019. Smartphone interaction and survey data as predictors of Snapchat usage. Presented at: UbiComp 2019, London, UK, 9-10 Sept 2019Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. pp. 438-445., (10.1145/3341162.3349298)
• Ashford, J., Turner, L., Whitaker, R., Preece, A., Felmlee, D. and Towsley, D. 2019. Understanding the signature of controversial Wikipedia articles through motifs in editor revision networks. Presented at: The Web Conference 2019, San Francisco, CA, USA, 13-17 May 2019.
• Turner, L. D., Whitaker, R. M., Allen, S. M., Linden, D. E. J., Tu, K., Li, J. and Towsley, D. 2019. Evidence to support common application switching behaviour on smartphones. Royal Society Open Science 6(3), article number: 190018. (10.1098/rsos.190018)
• Loizides, F. et al. 2019. MyCompanion: A digital social companion for assisted living. Presented at: INTERACT 2019, Paphos, Cyprus, 2–6 Sep 2019 Presented at Lamas, D. et al. eds.Human-Computer Interaction: INTERACT 2019, Part IV, Vol. 11749. Lecture Notes in Computer Science Cham, Switzerland: Springer Verlag pp. 649-653., (10.1007/978-3-030-29390-1_55)
• Morris, R., Turner, L., Whitaker, R. and Giammanco, C. 2019. The impact of peer pressure: extending Axelrod’s model on cultural polarisation. Presented at: 2019 IEEE International Conference on Cognitive Computing (ICCC 2019), MIlan, Italy, 8-13 July 2019IEEE International Conference on Cognitive Computing (ICCC). IEEE pp. 114-121., (10.1109/ICCC.2019.00030)

2018

• Tu, K., Li, J., Towsley, D., Braines, D. and Turner, L. 2018. Classifying types of network communities using motifs. Presented at: Machine Learning, Data Analytics and Modeling - DATAM'18 at CCS'18, Thessaloniki, Greece, 23-28 September 2018.
• Tu, K., Li, J., Towsley, D., Braines, D. and Turner, L. 2018. Network classification in temporal networks using motifs. Presented at: 3rd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD'18), Dublin, Ireland, 10-14 September 2018.
• Bellamy, R. et al. 2018. A computational framework for modelling inter-group behaviour using psychological theory. Presented at: SPIE Defense + Security 2018, Orlando, FL, USA, 15-18 April 2018Proceedings Volume 10653, Next-Generation Analyst VI, Vol. 10653. International Society for Optics and Photonics pp. 106530G., (10.1117/12.2309621)
• Braines, D., Felmlee, D., Towsley, D., Tu, K., Whitaker, R. and Turner, L. 2018. The role of motifs in understanding behavior in social and engineered networks. Presented at: Next Generation Analyst IV at SPIE DSS, Orlando, Florida, 15-19 Apr 2018.

2017

• Turner, L. D., Allen, S. M. and Whitaker, R. M. 2017. Reachable but not receptive: enhancing smartphone interruptibility prediction by modelling the extent of user engagement with notifications. Pervasive and Mobile Computing 40, pp. 480-494. (10.1016/j.pmcj.2017.01.011)
• Noe, B., Turner, L., Linden, D., Allen, S. M., Maio, G. and Whitaker, R. 2017. Timing rather than user traits mediates mood sampling on smartphones. BMC Research Notes 10, article number: 481. (10.1186/s13104-017-2808-1)
• Whitaker, R. M., Turner, L. and Colombo, G. 2017. Intra-group tension under inter-group conflict: a generative model using group social norms and identity. Presented at: 8th International Conference on Applied Human Factors and Ergonomics, Los Angeles, CA, USA, 17-21 July 2017.
• Eshghi, S., Williams, G., Colombo, G. B., Turner, L. D., Rand, D. G., Whitaker, R. M. and Tassiulas, L. 2017. Stability and fracture of social groups. Presented at: 55th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, USA, 3-6 October 2017.
• Turner, L. D. 2017. Decomposing responses to mobile notifications. PhD Thesis, Cardiff University.
• Turner, L., Colombo, G., Whitaker, R. and Felmlee, D. 2017. Parameterising the dynamics of inter-group conflict from real world data. Presented at: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 4-8 August 2017. IEEE
• Eshghi, S., Williams, G., Colombo, G., Turner, L., Rand, D., Whitaker, R. M. and Tassiulas, L. 2017. Mathematical models for social group behavior. Presented at: DAIS 2017 - Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations, San Francisco, CA, USA, 4-8 August 2017. IEEE

2015

• Turner, L. D., Allen, S. M. and Whitaker, R. M. 2015. Interruptibility prediction for ubiquitous systems: conventions and new directions from a growing field. Presented at: 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan, 7-11 September 2015Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, USA: ACM, (10.1145/2750858.2807514)
• Turner, L. D., Allen, S. M. and Whitaker, R. M. 2015. Push or delay? Decomposing Smartphone notification response behaviour. Presented at: Sixth International Workshop on Human Behavior Understanding, Osaka, Japan, 8 September 2015Human Behavior Understanding. Lecture Notes in Computer Science Berlin: Springer pp. 69-83., (10.1007/978-3-319-24195-1_6)